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Exploration of Fully-Automated Body Composition Analysis Using Routine CT-Staging of Lung Cancer Patients for Survival Prognosis.

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Title: Exploration of Fully-Automated Body Composition Analysis Using Routine CT-Staging of Lung Cancer Patients for Survival Prognosis.
Authors: Künnemann MD; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Römer C; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Helfen A; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Bleckmann A; West German Cancer Center (WTZ), University Hospital Münster, Münster, Germany.; Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, Münster, Germany., Kemper M; West German Cancer Center (WTZ), University Hospital Münster, Münster, Germany.; Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, Münster, Germany., Heindel W; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Brix TJ; Institute of Medical Informatics, University of Münster, Münster, Germany., Forsting M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Haubold J; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Opitz M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Schuler M; West German Cancer Center (WTZ), Department of Medical Oncology, University Hospital Essen, Essen, Germany.; National Center for Tumor Diseases (NCT), NCT West, a Partnership of DKFZ, University of Duisburg-Essen and University Hospital Essen, University of Köln and University Hospital Köln, Essen, Germany., Nensa F; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Borys K; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Hosch R; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany.
Source: Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2025 Aug; Vol. 16 (4), pp. e70021.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders Country of Publication: Germany NLM ID: 101552883 Publication Model: Print Cited Medium: Internet ISSN: 2190-6009 (Electronic) Linking ISSN: 21905991 NLM ISO Abbreviation: J Cachexia Sarcopenia Muscle Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Exploration of Fully-Automated Body Composition Analysis Using Routine CT-Staging of Lung Cancer Patients for Survival Prognosis.
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  Data: <searchLink fieldCode="JN" term="%22101552883%22">Journal of cachexia, sarcopenia and muscle</searchLink> [J Cachexia Sarcopenia Muscle] 2025 Aug; Vol. 16 (4), pp. e70021.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+%26+Sons+Ltd+on+behalf+of+Society+on+Sarcopenia%2C+Cachexia+and+Wasting+Disorders%22">John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101552883 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2190-6009 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221905991%22">21905991 </searchLink><i>NLM ISO Abbreviation: </i>J Cachexia Sarcopenia Muscle <i>Subsets: </i>MEDLINE
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        Value: 10.1002/jcsm.70021
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      – TitleFull: Exploration of Fully-Automated Body Composition Analysis Using Routine CT-Staging of Lung Cancer Patients for Survival Prognosis.
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              Text: 2025 Aug
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